Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

A group project for CMPE272 at SJSU

A flask web app to predict stock prices using Facebook's time series forecasting algorithm (Prophet) in real time.

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

ICDSS Machine Learning Workshop Series: Machine Learning APIs

Plots stock prediction using fb-prophet with data from alphavantage

Advance warning system for flood with rainfall analysis

A Project that uses Zillow research data on Quandl, Prophet for time series forecasting, Altair for vega-lite charts and Folium for an creating interactive map.

Predict stock price using fbprophet

A Demo for RedisGears function that uses fbprophet for timeseries prediction

A data science project which predicts in how much time a service request will be solved.

COVID 19 state wise + India + International prediction with data visualization and live curve prediction

Time series forecasting is a technique for the prediction of events through a sequence of time. Time-series forecasting decomposes the historical data into the baseline, trend, and seasonality. When a forecasting model doesn’t run as planned, we want to tune the parameters of the method with regards to the specific problem at hand. Tuning these methods requires a thorough understanding of how the underlying time series models work. A typical analyst/engineer will not know how to adjust these orders to avoid the problem. The Prophet package provides intuitive parameters which are easy to tune. Even someone like me who lacks expertise in forecasting models can use this to make meaningful predictions for a variety of problems in a business scenario.

Running multiple timeseries forecast with fb prophet

Forcasting the volume of DATA 2G, 3G and 4G stream

Simple stock prediction application to demonstrate prediction using fbprophet and integrating dcc and http requests.

Alpine based Docker Image for Facebook Prophet REST Service

Certified ML projects by coursera

Forecasting models integrated in a web applications, built purely in Python

Models for Predicting Missing Stock Prices.

Programa para visualizar e prever métricas do Covid-19 a partir dos dados do Ministério da Saúde

💍 machine learning to forecast price

Time series analysis and model building to make a recommendation for the top five zip codes to invest in

The data represents weekly 2018 retail scan data for National retail volume (units) and price, the objective of this project is to predict the price of avocado by using Facebook prophet.

Estimate based on fbprophet

Forecasting model that uses the FB Prophet Model to predict minimum temperatures.

Predicting the optimal strategy for fueling for a given route

Stock Price Prediction in Python